Unlocking Performance with Customized Logistics and Supply Chain Analytics Across Saudi Arabia and the GCC

The client was a regional electronics importer and distributor serving Saudi Arabia and multiple GCC markets. The business handled thousands of fast-moving SKUs with complex demand behavior across retail, wholesale, and e-commerce channels. Their leadership recognized the need to modernize analytics capabilities to improve operational visibility, forecasting accuracy, and overall logistics performance. They engaged our consulting firm to design a customized analytics platform capable of providing real-time insights and enabling predictive decision-making across the supply chain.

We designed a fully customized analytics architecture integrating warehousing, transportation, procurement, and sales data into a unified platform. The system included predictive forecasting algorithms, SKU segmentation analytics, cost-to-serve modelling, and replenishment simulations. User-friendly dashboards provided real-time visibility into lead-time risks, inventory cycles, and supplier performance. Automated data ingestion pipelines ensured that all insights remained current without manual updates. The architecture was built to scale, supporting future GCC warehouse nodes and retail channel expansion.

• Conducted a full audit of existing data sources, identifying gaps in structure, reliability, and reporting cadence.
• Built a unified data lake to consolidate information across supply chain functions and eliminate silos.
• Developed machine learning models trained on historical and seasonal datasets to enhance forecast accuracy.
• Facilitated cross-functional workshops to design dashboards aligned with operational workflows and decision-making needs.
• Delivered training programs and established a data governance framework to ensure sustainable long-term platform ownership.

We recommended automating replenishment decisions for high-volume SKUs, supported by predictive analytics. To reduce complexity, we advised conducting quarterly SKU rationalization and integrating transport telemetry to gain real-time ETA updates. Additionally, we encouraged implementing structured monthly cost-to-serve reviews to recalibrate routing decisions, reduce inefficiencies, and improve profitability. We also recommended forming data governance committees to maintain data integrity and ensure continuous enhancement of analytics capabilities.

The client reduced excess inventory by 22%, improved forecasting accuracy by 30%, and increased on-time delivery across Saudi and GCC lanes by 15%. The system delivered operational savings estimated at SAR 4.8 million during the first year alone. The improved analytics capabilities enabled teams to transition from reactive to predictive decision-making, elevating the company’s overall supply chain maturity and strategic readiness.